Top Tech Jobs & Startup Jobs in NYC, NY

Own product strategy, roadmap, backlog, and delivery for a technical healthcare data platform portfolio. Partner closely with engineering across the SDLC, translate customer and business needs into requirements, lead agile ceremonies, investigate data and architecture tradeoffs, use SQL and instrumentation for prioritization, and manage technical debt, scalability, and data quality. The role also communicates roadmap decisions to stakeholders and supports adoption of shipped capabilities.

Build and own Arcadia’s internal developer platform across a large-scale data lakehouse and Kubernetes applications. Develop self-service APIs, templates, golden paths, CI/CD capabilities, observability, security controls, and reliability practices. Lead platform migrations, improve developer experience, manage stakeholder needs and costs, set technical direction, and coach senior engineers. The role requires hands-on software development alongside expertise in cloud infrastructure, Kubernetes, networking, infrastructure as code, SLOs, incident response, and platform product management.

Own Arcadia’s revenue operating system, including Salesforce, forecasting, pricing, SKUs, quote-to-cash, KPI frameworks, sales compensation, and AI-powered reporting. Lead the evaluation and roadmap of the revenue technology stack while partnering with Sales, Marketing, Customer Success, Finance, Product, and Tech. Build scalable processes, improve forecast accuracy, analyze pipeline and sales efficiency, and drive predictable growth in a high-growth SaaS environment.

Own product-layer performance for agentic AI systems in healthcare. Design prompting, retrieval, context, memory, tool use, evaluation, escalation, and human-review workflows. Build production-grounded evaluations, diagnose failures, improve accuracy, reliability, latency, cost, and steerability, and approve model changes. Partner with Product and Engineering while maintaining model cards, intended-use guidance, limitations, and failure-mode documentation for safe, transparent deployment.

Analyze healthcare claims and clinical data to build data models, analytical pipelines, predictive and risk-model inputs, dashboards, scorecards, and reusable analytics assets. Translate ambiguous customer and clinical questions into actionable data plans, manage delivery across stakeholders, present findings to customers, maintain quality standards, mentor junior analysts, and contribute to analytics roadmaps, automation, and scalable methodologies.

Lead business development and close new Payor accounts by prospecting, qualifying, and cultivating C-level relationships. Drive proposal and contract processes, collaborate with product, operations, and finance, maintain accurate pipeline in Salesforce, provide financial projections, and secure multi-year, multi-million-dollar contracts with commercial and regional payers.

Lead new-account acquisition in the Provider market by identifying, engaging, and closing enterprise health system and provider group deals. Manage long sales cycles, build C-level relationships, drive proposals and contracting, coordinate with internal teams, maintain pipeline in Salesforce, and frequently travel to customers to achieve revenue targets and account expansion.

Senior analytics leader who defines analytic strategy, leads a team of SQL analysts and BI developers, architects scalable frameworks for medical economics, risk, population health and value-based care, ensures methodological rigor in DBT/Spark and Quicksight dashboards, drives automation and AI integration, presents to executive stakeholders, and mentors senior analytic talent.

Manage end-to-end success for a portfolio of non-enterprise healthcare customers: drive adoption, troubleshoot complex data and platform issues, run trainings and implementations, coordinate cross-functional teams, develop customer roadmaps, and support renewals while ensuring data quality and security compliance.

Own SQL and dbt-based data modeling and data quality for clinical and claims datasets. Author and refactor dbt models/tests, triage DQ alerts, design monitors, optimize SQL performance, and collaborate with Data Engineering and stakeholders to ensure trusted production datasets.